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ICIP
2006
IEEE
14 years 9 months ago
Perceptual Feature Selection for Semantic Image Classification
Content-based image retrieval has become an indispensable tool for managing the rapidly growing collections of digital images. The goal is to organize the contents semantically, a...
Dejan Depalov, Thrasyvoulos N. Pappas, Dongge Li, ...
MMSEC
2004
ACM
145views Multimedia» more  MMSEC 2004»
14 years 1 months ago
Improving LSB steganalysis using marginal and joint probabilistic distributions
The goal of steganalysis is to search for the presence of hidden information in numerical contents. This paper is based on a previous LSB steganalysis scheme for digital images th...
Benoit Roue, Patrick Bas, Jean-Marc Chassery
NIPS
2004
13 years 9 months ago
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
Hyun-Jin Park, Te-Won Lee
ICIAR
2010
Springer
13 years 5 months ago
Image Segmentation for Robots: Fast Self-adapting Gaussian Mixture Model
Image segmentation is a critical low-level visual routine for robot perception. However, most image segmentation approaches are still too slow to allow real-time robot operation. I...
Nicola Greggio, Alexandre Bernardino, José ...
ICIAR
2004
Springer
14 years 1 months ago
Pulling, Pushing, and Grouping for Image Segmentation
This paper presents a novel computational visual grouping method, termed pulling, pushing and grouping, or PPG for short. Visual grouping is formulated as a functional optimisation...
Guoping Qiu, Kin-Man Lam